Book Review - Apply Math with Python
You'll start by refreshing your knowledge of several core mathematical fields and learn about packages covered in Python's scientific stack, including NumPy, SciPy, and Matplotlib. As you progress, you'll gradually get to grips with more advanced topics of calculus, probability, and networks (graph theory). Once you’ve developed a solid base in these topics, you’ll have the confidence to set out on math adventures with Python as you explore Python's applications in data science and statistics, forecasting, geometry, and optimization. The final chapters will take you through a collection of miscellaneous problems, including working with specific data formats and accelerating code.
By the end of this book, you'll have an arsenal of practical coding solutions that can be used and modified to solve a wide range of practical problems in computational mathematics and data science.
✅Become familiar with basic Python packages, tools, and libraries for solving mathematical problems
✅Explore real-world applications of mathematics to reduce a problem in optimization
✅Understand the core concepts of applied mathematics and their application in computer science
✅Find out how to choose the most suitable package, tool, or technique to solve a problem
✅Amazon: https://www.amazon.com/Applying-Math-...
✅Packt: https://www.packtpub.com/product/appl...
✅Github: https://github.com/PacktPublishing/Ap...
PS. I was sent a copy of the book to review. Other than this, I have not received any monetary incentives to do this video and it is my creation only. Hence, the video focuses on how I use the book instead of a general content-wise book review.
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